Journal cover Journal topic
Biogeosciences An interactive open-access journal of the European Geosciences Union
Biogeosciences, 12, 1629-1634, 2015
https://doi.org/10.5194/bg-12-1629-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Technical note
12 Mar 2015
Technical Note: Multispectral lidar time series of pine canopy chlorophyll content
T. Hakala1, O. Nevalainen1, S. Kaasalainen1, and R. Mäkipää2 1Finnish Geospatial Research Institute (FGI), Masala, Finland
2Finnish Forest Research Institute (METLA), Vantaa, Finland
Abstract. We present an empirical application of multispectral laser scanning for monitoring the seasonal and spatial changes in pine chlorophyll (a + b) content and upscaling the accurate leaf-level chlorophyll measurements into branch and tree level. The results show the capability of the new instrument for monitoring the changes in the shape and physiology of tree canopy: the spectral indices retrieved from the multispectral point cloud agree with laboratory measurements of the chlorophyll a and b content. The approach opens new prospects for replacing destructive and labour-intensive manual sampling with remote observations of tree physiology.

Citation: Hakala, T., Nevalainen, O., Kaasalainen, S., and Mäkipää, R.: Technical Note: Multispectral lidar time series of pine canopy chlorophyll content, Biogeosciences, 12, 1629-1634, https://doi.org/10.5194/bg-12-1629-2015, 2015.
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Short summary
A hyperspectral lidar produces point clouds with multiple spectral channels (colours) for each point. We measured a pine and used the spectral content to estimate chlorophyll content. We validated these results using chemical laboratory analysis of needles taken from the pine. Our prototype has limitations, but still shows the great potential of coloured point clouds. Potential applications include forestry, security, archaeology and city modelling.
A hyperspectral lidar produces point clouds with multiple spectral channels (colours) for each...
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